What are the hardware requirements for Llama SmolTalk 3.2 1B Instruct?

Llama SmolTalk 3.2 1B Instruct requires approximately 2.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama SmolTalk 3.2 1B Instruct and how large is it?

Llama SmolTalk 3.2 1B Instruct is developed by prithivMLmods, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Llama SmolTalk 3.2 1B Instruct?

Llama SmolTalk 3.2 1B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama SmolTalk 3.2 1B Instruct by prithivMLmods — VRAM 2.5GB, 128K context

Name: Llama SmolTalk 3.2 1B Instruct
Author: prithivMLmods

Llama SmolTalk 3.2 1B Instruct is an open-source language model by prithivMLmods. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: creativeml-openrail-m, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Bin Conversational Dataset:huggingfacetb/smoltalk Deploy:azure En Endpoints compatible Instruct Llama Llama-cpp Ollama Quantized Region:us Safetensors Smoltalk

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct

Llama SmolTalk 3.2 1B Instruct Parameters and Internals

LLM Name	Llama SmolTalk 3.2 1B Instruct
Repository 🤗	https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-08-08
Maintainer	prithivMLmods
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	creativeml-openrail-m
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama SmolTalk 3.2 1B Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Llama SmolTalk 3.2 1B Instruct

Model	Likes	Downloads	VRAM
... SmolTalk 3.2 1B Instruct GGUF	4	107	0 GB

Best Alternatives to Llama SmolTalk 3.2 1B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
Llama 3 8B Legal Chatbot Id	128K / 2.5 GB	744	0
...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
HRA Non Instruct Merged	128K / 2.5 GB	78	0
Llama3.2 1B HAREM	128K / 2.5 GB	411	0
Diqie123	128K / 2.5 GB	15	0
CodeNexus	128K / 2.5 GB	8	0
...2 1B Instruct Unsloth Bnb 4bit	128K / 1.1 GB	28958	4
Llama 3.2 1B Instruct 4bit	128K / 0.7 GB	49868	20
Llama 3.2 1B Instruct Bnb 4bit	128K / 1 GB	36333	22

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct.